摘要
应用专家系统与人工神经网络的相关理论对某型飞机航姿系统的故障诊断问题进行了深入的研究,建立了基于专家系统与人工神经网络的集成式专家故障诊断系统,并利用该专家系统实现了某型航姿系统的故障诊断。应用结果表明:整个网络数据误差在训练 10次时达到 0 1,在训练 829次时达到 0 01,可以准确识别故障。
Interrelated theories of expert system and artificial neural network are applied to the thorough study of navigation attitude system failure diagnosis problem, and an integrated failure diagnosis expert system is established based on expert system and artificial neural network. By using this integrated failure diagnosis expert system, the failure diagnosis of a navigation attitude system is realized. The result shows that the neural network data error is 0.1 when training 10 times and 0.01when training 829 times which means an accurate identification of failure.
出处
《空军工程大学学报(自然科学版)》
CSCD
北大核心
2005年第1期17-19,共3页
Journal of Air Force Engineering University(Natural Science Edition)
基金
军队科研基金资助项目
关键词
专家系统
人工神经网络
航姿系统
故障诊断
expert system
artificial neural network
navigation attitude system
failure diagnosis